• Title/Summary/Keyword: University class model

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The Effects of POE Model in the Earth Science Unit of Middle School (중학교 지구과학 영역에서 POE 수업모형 적용의 효과)

  • Lee, Eun-Ju;Choi, Sung-Bong;Kim, Sang-Dal
    • Journal of the Korean Society of Earth Science Education
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    • v.2 no.1
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    • pp.48-54
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    • 2009
  • This study aims to find out any effect of a POE model in the earth science unit of middle school(POE: prediction-observation-explanation). So this report compared and analyzed the effect that POE class and teacher-oriented class have on the level of learner science process skill and science academic achievement. Two groups, which were composed of 66 students and 64 students of middle school 2rd grade in Gyeongsangnamdo for this study, respectively, were selected as an experimental group and a comparative group. Through the pretest, the level of learner science process skill and science academic achievement were investigated. And learner science process skill and science academic achievement was verified with t-test. The findings of the study are as follows: First, as a result of analyzing the pre-test and the post-test for finding out the effect of class offering the POE model on learner science process skill, the class offering the POE model was shown effective for improving learner science process skill. However, the POE class was found significantly effective for improving the sub-factors of operationally defining, designing investigations, graphing and interpreting data, but not effective for identifying and stating hypothesis, identifying variables. Second, as a result of analyzing the pre-test and the post-test for finding out the effect of class offering the POE model on learner science academic achievement the class offering the POE model was shown effective for learner science academic achievement.

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The tunnel model tests of material development in different surrounding rock grades and the force laws in whole excavation-support processes

  • Jian Zhou;Zhi Ding;Jinkun Huang;Xinan Yang;Mingjie Ma
    • Geomechanics and Engineering
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    • v.36 no.1
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    • pp.51-69
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    • 2024
  • Currently, composite lining mountain tunnels in China are generally classified based on the [BQ] method for the surrounding rock grade. Increasingly, tunnel field construction is replicated indoors for scale down model tests. However, the development of analogous materials for model tests of composite lining tunnels with different surrounding rock grades is still unclear. In this study, typical Class III and V surrounding rock analogous materials and corresponding composite lining support materials were developed. The whole processes of excavation-support dynamics of the mountain tunnels were simulated. Data on the variation of deformations, contact pressures and strains on the surrounding rock were obtained. Finally, a comparative analysis between model tests and numerical simulations was performed to verify the rationality of analogous material development. The following useful conclusions were obtained by analyzing the data from the tests. The main analogous materials of Class III surrounding rock are barite powder, high-strength gypsum and quartz sand with fly ash, quartz sand, anhydrous ethanol and rosin for Class V surrounding rock. Analogous materials for rockbolts, steel arches are replaced by aluminum bar and iron bar respectively with both shotcrete and secondary lining corresponding to gypsum and water. In addition, load release rate of Class V surrounding rock should be less than Class III surrounding rock. The fenestration level had large influence on the load sharing ratio of the secondary lining, with a difference of more than 30%, while the influence of the support time was smaller. The Sharing ratios of secondary lining in Class III surrounding rock do not exceed 12%, while those of Class V surrounding rock exceed 40%. The overall difference between the results of model tests and numerical simulations is small, which verifies the feasibility of similar material development in this study.

A Flipped Classroom Model For Algorithm In College

  • Lee, Su-Hyun
    • Journal of the Korea Society of Computer and Information
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    • v.22 no.1
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    • pp.153-159
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    • 2017
  • In recent years there has been a rise in the use and interest of the flipped learning as a teaching and learning paradigm. The flipped learning model includes any use of Internet technology to enrich the learning in a classroom, so that a professor can spend more time interacting with students instead of lecturing. In the flipped model, students viewed video lectures online outside of class time. Students then performed two kinds of assignments, a teamwork assignment and an individual work assignment, through the class time. In this paper, we propose a flipped educational model for a college class. This experimental research compares class of college algorithm using the flipped classroom methods and the traditional lecture-homework structure and its effect on student achievement. The result data of mid-term exam and final exam were analyzed and compared with previous year data. The findings of this research show that there was not a significant difference in the scores of student between two lecturing methods. The survey result and lecture evaluation by students show that students are in favor of the flipped learning.

Proposal of Smart era Online Learning Model with BigData (빅데이터를 접목한 스마트시대 온라인 학습 모델의 제안과 실증)

  • Park, Jae-Chun;Lee, Doo-Young;Kuk, Sung-Hee
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.4
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    • pp.991-1000
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    • 2015
  • This paper is studying for New Online Learning Model on Smart digital era. It can expect the result of learning degree on Online Learning Class. Using 7-factors of Online Class's operating policy, make the expectation model by 'decision tree' method. And through applying another class, we can getting a generality. Finally, Over the traditional Online Class model, we can take the real-time status of Online class learning degree. It is useful both students and teacher. It is the one of 'Smart learning Model'.

The Development and Applied Case of Earth Science Class Model Based on Flipped Learning (거꾸로 수업기반 지구과학 수업모델 개발 및 적용 사례)

  • Moon, Byoung-Chan
    • Journal of the Korean Society of Earth Science Education
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    • v.10 no.2
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    • pp.91-103
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    • 2017
  • This study has developed the earth science class model based on flipped learning and analyzed the effects of that model at the elementary pre-teachers' science classes. The model of this study, the material which was consists of all contents and information about classes was offered to learners before science class as a substitute for preceding homework at general flipped learning. In science class, the knowledges which were recorded in materials were explained directly to learners by instructor for 20minutes. So the learners resolved some inquiry questions in materials through mutual debate collaboration with learners in small group. After inquiry questions' resolving, the learner among small group makes a presentation in front of the whole class. At the same time, the instructor evaluated learning action of all small groups' learners during the classes as process evaluation. The final evaluation results of semester were obtained scores of the small group in 14 classes and the achievements of individual portfolio as final exam. The learners were very positive perception to this science class model, why it is helped to concentrate on the class, extended debating and thinking ability. Consequently, the class model of this study is useful to applicate the earth science classes.

QBS, the Smart e-learning Model (참여와 공유의 정신을 구현한 스마트시대의 이러닝 학습 모델 QBS)

  • Park, Jae-Chun;Lee, Doo-Young;Yang, Je-Min
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.1
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    • pp.208-220
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    • 2015
  • This study analyze Online class's current condition in Smart era. And suggest better operation model based on Internet Architecture. This study focuses the condition of e-learning operation model in University online class. Especially, 'Time Check Idea' that using for attendance on e-learning class has some side effects. So this study would applied 'Qualitative Check Idea Concept' on e-learning class. Question Based System, QBS is example model. QBS is leading a Learner's participation in e-class by Making Quiz. These quizs are shared with other students and refer to studing contents. Practically operating Qualitative Concept model QBS on university e-class, we can seek for the effectiveness of Qualitative e-learning model QBS.

Effective UML models by using database system

  • Halim, Faisal;Muttaqin, Rizal
    • Korean Journal of Artificial Intelligence
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    • v.1 no.1
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    • pp.1-3
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    • 2013
  • This study suggested ways to control UML diagram and to make design of database and to retrieve diagram information by giving questions. The study classified elements of the diagram. For instance, class diagram was made of classes, and class was done of class name and attribute operator. The elements were transformed to be database table having basic key and foreign key information. The ways suggested had advantages of users' sharing of model information and reuse of the model. This study investigated cost saving, time saving and UML model construction by database. We had designed integrated and relation database that could save and manage UML diagram, and suggested retrieval. For instance, we classified class diagram into elements to make tables and kept relation of each element by using not only basic key of relation database but also foreign key information. We made database of modeling depending upon methods to give users convenience.

Sweet Persimmons Classification based on a Mixed Two-Step Synthetic Neural Network (혼합 2단계 합성 신경망을 이용한 단감 분류)

  • Roh, SeungHee;Park, DongGyu
    • Journal of Korea Multimedia Society
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    • v.24 no.10
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    • pp.1358-1368
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    • 2021
  • A research on agricultural automation is a main issues to overcome the shortage of labor in Korea. A sweet persimmon farmers need much time and labors for classifying profitable sweet persimmon and ill profitable products. In this paper, we propose a mixed two-step synthetic neural network model for efficiently classifying sweet persimmon images. In this model, we suggested a surface direction classification model and a quality screening model which constructed from image data sets. Also we studied Class Activation Mapping(CAM) for visualization to easily inspect the quality of the classified products. The proposed mixed two-step model showed high performance compared to the simple binary classification model and the multi-class classification model, and it was possible to easily identify the weak parts of the classification in a dataset.

A Study on a car Insurance purchase Prediction Using Two-Class Logistic Regression and Two-Class Boosted Decision Tree

  • AN, Su Hyun;YEO, Seong Hee;KANG, Minsoo
    • Korean Journal of Artificial Intelligence
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    • v.9 no.1
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    • pp.9-14
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    • 2021
  • This paper predicted a model that indicates whether to buy a car based on primary health insurance customer data. Currently, automobiles are being used to land transportation and living, and the scope of use and equipment is expanding. This rapid increase in automobiles has caused automobile insurance to emerge as an essential business target for insurance companies. Therefore, if the car insurance sales are predicted and sold using the information of existing health insurance customers, it can generate continuous profits in the insurance company's operating performance. Therefore, this paper aims to analyze existing customer characteristics and implement a predictive model to activate advertisements for customers interested in such auto insurance. The goal of this study is to maximize the profits of insurance companies by devising communication strategies that can optimize business models and profits for customers. This study was conducted through the Microsoft Azure program, and an automobile insurance purchase prediction model was implemented using Health Insurance Cross-sell Prediction data. The program algorithm uses Two-Class Logistic Regression and Two-Class Boosted Decision Tree at the same time to compare two models and predict and compare the results. According to the results of this study, when the Threshold is 0.3, the AUC is 0.837, and the accuracy is 0.833, which has high accuracy. Therefore, the result was that customers with health insurance could induce a positive reaction to auto insurance purchases.

Designing the Content-Based Korean Instructional Model Using the Flipped Learning

  • Mun, Jung-Hyun
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.6
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    • pp.15-21
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    • 2018
  • The purpose of this study is to design a Content-based Korean Class model using Flipped learning for foreign students. The class model that presents on this paper will lead the language learning through content learning, also it will be enable the student more active and to have an initiative in the class. Prior to designing a Content-based Korean Class model using Flipped learning, the concepts and educational significance and characteristics of flip learning were reviewed through previous studies. Then, It emphasizes the necessity of teaching method adapting Flipped learning to Content-based teaching method in Korean language education. It also suggests standards and principles of composition in Contents-based teaching method using Flipped learning. After designing the instructional model based on the suggested standards and principles, it presents a course of instruction about how learning methods, contents and activities should be done step by step. The Content-based Korean class model using the Flipped learning will be an alternative approach to overcome the limitations of teacher-centered teaching methods and lecture-teaching methods which are the dominant of present classroom environment.